Electric View Bios

The Equipment.

The Delta-T Antenna

The Delta-T antenna is the device of legend from 'Project Phoenix'. The device consists of 3 antennas or coils each at 90 degrees to the other. The main two are fed a sine and cosine wave so that they are 90 degrees phase-shifted. This starts up a rotational magnetic field in the center of the antennas whose rotational velocity is equal to the input frequency. The third antenna pulls the field into the 3rd dimension.

Here is a possible Delta-T configuration:


Hutchinson Effect


3D Hyperbolic Tiling and Horosphere Cross Section

Vladimir Bulatov,


Joint AMS/MAA meeting

San Diego, January 10, 2018



From: Chris Reeve <chris@controversiesofscience.com>
Date: Fri, Apr 13, 2018 at 8:36 AM
Subject: Re: plasma simulations
To: "David W. Johnson" <dj@argos.vu>

Can you point me to the podcasts?

My biggest priority at the moment is to merge my existing Controversies of Science codebase into a Mastodon social network instance.  I am thinking about forking their project into a “science collective” instance.  Mastodon is a Twitter clone, with one major difference — that each social network instance can be linked together (either tightly or loosely) with the others.  This is how I think we can expand the strength of the maverick science community — by adding features into Mastodon which maverick science thinkers can benefit from, then by making those instances as easy as possible to spin up.  The ability to form federations between social networks gives me the exact mechanism I need to support independent maverick theorists.
Re: "I'm finding that there is a bit of a ground swell in positive receptivity to EU concepts personally. I have discussed some of the concepts with quite a number of people over that last year or so and I am consistently seeing light bulbs turn on in their heads.”
Well, make sure you check out the recent Space News on my slashdot interactions (https://www.youtube.com/watch?v=Y-0JzSjDAQE).  If you go through the comments that the video refers to (https://science.slashdot.org/story/18/03/09/2214254/can-electricity-travel-through-space-on-astrophysical-jets), I think you will learn much of what you need to know about the nature of the resistance to the EU.  There remains enormous hostility in the tech community specifically.  The hostility is mostly directed at the Electric Universe brand itself, but also towards anybody who questions Relativity.  Most of these arguments are very easy to knock down, but since nobody has been taking the time to do so over the past decade or so, the Slashdot community has become dead-set against ideas which people honestly don’t really understand.  It’s not especially uncommon for plasma modelers to speak up to muddy the waters of the debate by suggesting that the modeling community has already abandoned their fluids modeling ways (perhaps even technically true, but definitely misleading because I can flood these modelers with specific examples of obviously electrodynamic plasma phenomena w/ specific quotes about modeling these observations w/ fluids equations).
In reading through the Jupyter notebooks docs, it sort of looks like the technology involves a client-server relationship.  Perhaps I misunderstood, but I definitely didn’t expect to see anything like that.  If true, then that could open up even more possibilities.  Think about this: The proof-of-work algorithm for Ethereum is designed to work with arrays of GPU cards.  It is conceivable that a blockchain might be set up based upon Ethereum to provide the computational backend service for Jupyter notebook clients — so that these Mastodon instances could each have access to large-scale computational resources.  I need to go back and take another look at the Jupyter docs to confirm that I’ve understood what is going on w/ that.
On Apr 9, 2018, at 2:04 PM, David W. Johnson <dj@argos.vu> wrote:


Great to hear from you.
I've looked at Jupyter note books only peripherally and wanted to get a little bit of a closer view. What you are proposing would certainly provide an intuitive method of understanding EU concepts since most are by nature 3 dimensional,
I did a little searhing around this morning after receiving your email and put this together this page to trace my steps:
I have been looking at how to visualize specific attributes of plasma dynamics for a while now and would enjoy showing you what I've developed.
We have been forming a bit of an informal EU collective with Neil Thompson and Jim Weninger that meets every week - it's recently turned into a loose podcast of sorts as well.
Skype seems to work for these meetups since people are for the most part familiar with it. We are able to share what we are working on directly via screen sharing.
I code in c# with Unity presently but have dabbled in html5 and js as well. I've been particularly impressed with Toby Schachman's work with html5.
I'm finding that there is a bit of a ground swell in positive receptivity to EU concepts personally. I have discussed some of the concepts with quite a number of people over that last year or so and I am consistently seeing light bulbs turn on in their heads.
Let me know if you'd like to meet up to discuss things further.
Have a great afternoon.

On Mon, Apr 9, 2018 at 10:34 AM, Chris Reeve <chris@controversiesofscience.com> wrote:

Hi, David.  Long time no talk!  I wanted to ask you a question, if you don’t mind ...

I have been trying to fine-tune my understanding of what blocks a wider consideration of the Electric Universe through various attempts to reach out to people, and the subject seems to return to geometry repeatedly.  I recently tried to pitch the EU to a very close friend who is a project manager for NASA’s SOFIA project (where they put an infrared telescope onto an airliner), and I came away with the sense that the geometry arguments are falling flat in the various EU papers — and when this happens, what I see is people adopting a very skeptical stance.
Then, I read this interesting article on Wolfram here …
I spoke to Theodore Gray, who has since left Wolfram Research to become a full-time writer. He said that his work on the notebook was in part motivated by the feeling, well formed already by the early 1990s, “that obviously all scientific communication, all technical papers that involve any sort of data or mathematics or modeling or graphs or plots or anything like that, obviously don’t belong on paper. That was just completely obvious in, let’s say, 1990,” he said.
“It’s been a source of ongoing bafflement and consternation for the past 29 years, that with the exception of a few people who get it, the community at large hasn’t really adopted it,” he said. “It’s incalculable, literally ... how much is lost, and how much time is wasted, and how many results are misinterpreted or are misrepresented.”
… and it occurred to me that this sort of matches what I am seeing myself when I discuss the many forms of laboratory plasmas.  The article mentions this open source Jupyter platform for embedding simulations and 3d renders directly into papers.  I am very much liking the sound of that approach, and am exploring the feasibility of implementing simulations which would connect the dots between the geometry of astronomical objects like sn1987a and the laboratory z-pinch, and then ideally contrast that by rendering the mainstream hydrodynamic model approach.
I’ve come to think that I could create a powerful scientific “paper” with this approach, which would be a sort of synthesis between traditional paper (including citations, abstract, etc), but taking care to define all of our terms, and presenting all of the most powerful arguments I have come across in my many online interactions.
I was wondering if you guys had any experience with Jupyter notebooks, or if you would be able to provide any sort of guidance on how to create these simulations?  I’m a little bit lost w/ where to start with such an ambitious endeavor.  My matrix math skills are only moderate, but I do have some experience of course with coding.  Unfortunately, my Python is pretty weak — yet, it does appear that Jupyter supports JavaScript, which I am much more familiar with.
Any pointers on how to proceed w/ creating simulations and 3d animations like this?  Am I completely out of my league w/ this?  Should I be doing some sort of modeling or 3d animation courses first?
If I could somehow get experience with this Jupyter platform, then there is also the possibility of working this capability into the social network that I am constructing ...

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